Collection of generative models in Tensorflow
Notebooks about Bayesian methods for machine learning
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurI...
PyTorch implementation of various methods for continual learning (XdG, E...
My first Python repo with codes in Machine Learning, NLP and Deep Learni...
Variational autoencoder implemented in tensorflow and pytorch (including...
Deep probabilistic analysis of single-cell omics data
Next RecSys Library
"Deep Generative Modeling": Introductory Examples
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation ...
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
PyTorch implementation of normalizing flow models
Variational Autoencoder and Conditional Variational Autoencoder on MNIST...
Variational autoencoders for collaborative filtering